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» On the Use of Evidence in Neural Networks
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GECCO
2004
Springer
15 years 7 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
CVPR
1998
IEEE
16 years 3 months ago
Rotation Invariant Neural Network-Based Face Detection
In this paper, we present a neural network-based face detection system. Unlike similar systems which are limited to detecting upright, frontal faces, this system detects faces at ...
Henry A. Rowley, Shumeet Baluja, Takeo Kanade
ICDAR
2009
IEEE
15 years 8 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
CLEAR
2006
Springer
159views Biometrics» more  CLEAR 2006»
15 years 5 months ago
Neural Network-Based Head Pose Estimation and Multi-view Fusion
In this paper, we present two systems that were used for head pose estimation during the CLEAR06 Evaluation. We participated in two tasks: (1) estimating both pan and tilt orientat...
Michael Voit, Kai Nickel, Rainer Stiefelhagen
FLAIRS
2004
15 years 3 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar